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In this work, we evaluate the adversarial robustness of BERT models trainedon German Hate Speech datasets. We also complement our evaluation with twonovel white-box character and word level attacks thereby contributing to therange of attacks available. Furthermore, we also perform a comparison of twonovel character-level defense strategies and evaluate their robustness with oneanother.

White-Box Attacks on Hate-speech BERT Classifiers in German with Explicit and Implicit Character Level Defense